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Development of a bioinformatic pipeline for identification of emerging infectious diseases among patients in regimen of chronic transfusion

Grant number: 19/07861-8
Support type:Scholarships in Brazil - Master
Effective date (Start): June 01, 2019
Effective date (End): May 31, 2021
Field of knowledge:Biological Sciences - Genetics - Molecular Genetics and Genetics of Microorganisms
Principal researcher:Svetoslav Nanev Slavov
Grantee:Ian Nunes Valença
Home Institution: Hemocentro de Ribeirão Preto. Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da USP (HCMRP). Secretaria da Saúde (São Paulo - Estado). Ribeirão Preto , SP, Brazil
Associated research grant:17/23205-8 - Evaluation of the impact of emerging and reemerging viruses in the field of hemotherapy and stem cell transplantation by multiple-research approach, AP.JP

Abstract

Studies in the field of viral metagenomics have increased its importance in the recent decades due to advances of the Next Generation Sequencing (SNG), mainly due to the possibility of identifying emerging viruses without any knowledge of their genomic characteristics. In this scenario, patients who receive multiple blood transfusions or continuous treatments with hemoderivatives (beta-thalassemia, sickle-cell disease and hemophilia) are especially vulnerable, because they show a higher risk of acquisition of parenterally transmitted infectious diseases. Moreover, these patients manifest specific immunological alterations which might be responsible for the development of chronic viral infections and subsequent viral carriage. Therefore, such patients are target of interest for the identification of emerging, re-emergent and non-suspected viral agents that may adversely affect the patient survival. At the same time viral metagenomics performed in this group can reveal non-suspected viruses which demonstrate transfusion-transmitted potential. One of the main challenges of viral metagenomics are the bioinformatic procedures. Some difficulties include the processing of large amounts of data, lack of qualified bioinformaticians in Brazil, the complexity of the bioinformatic tools and the clinical interpretation of the obtained data. Therefore, our objective is to develop a bioinformatic pipeline to analyze the virome in blood samples obtained from patients with thalassemia, sickle cell disease and hemophilia. In addition, analysis of the viral molecular evolution will be performed, including phylogenetic analysis, presence of viral subpopulations and genotyping. The development of this project counts with international collaborations of the Institute Pasteur, France and the National Institute of Blood Transfusion, France. (AU)

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Scientific publications (8)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BEZERRA, RAFAEL DOS SANTOS; BUB, CAROLINA BONET; PERONNI, KAMILA CHAGAS; DE FIGIUEIREDO BARROS, BRUNA DURAES; DA COSTA LIRA, SANNY MARCELE; KUTNER, JOSE MAURO; COVAS, DIMAS TADEU; KASHIMA, SIMONE; SLAVOV, SVETOSLAV NANEV. Virome comparison of deferred blood donations obtained from different geographic regions in the Sao Paulo State, Brazil. TRANSFUSION AND APHERESIS SCIENCE, v. 60, n. 3 JUN 2021. Web of Science Citations: 0.
BEZERRA, RAFAEL DOS SANTOS; DE OLIVEIRA, LEONARDO SCALON; MORENO, EDSON L.; UBIALI, EUGENIA M. AMORIM; SILVEIRA, ROBERTA MARANINCHI; DA SILVA JUNIOR, WILSON A.; COVAS, DIMAS TADEU; KASHIMA, SIMONE; SLAVOV, SVETOSLAV N. Viral metagenomics in blood donations with post-donation illness reports from Brazil. BLOOD TRANSFUSION, v. 19, n. 2, p. 93-101, MAR-APR 2021. Web of Science Citations: 0.
VALENCA, IAN NUNES; DOS SANTOS, RAFAEL BEZERRA; PERONNI, KAMILA CHAGAS; SAUVAGE, VIRGINIE; VANDENBOGAERT, MATHIAS; CARO, VALERIE; DA SILVA JUNIOR, WILSON ARAUJO; COVAS, DIMAS TADEU; SILVA-PINTO, ANA CRISTINA; LAPERCHE, SYRIA; KASHIMA, SIMONE; SLAVOV, SVETOSLAV NANEV. Deep sequencing applied to the analysis of viromes in patients with beta-thalassemia. Revista do Instituto de Medicina Tropical de São Paulo, v. 63, 2021. Web of Science Citations: 0.
BEZERRA, RAFAEL DOS SANTOS; BITENCOURT, HELLEN TAYANA; COVAS, DIMAS TADEU; KASHIMA, SIMONE; SLAVOV, SVETOSLAV NANEV. Molecular evolution pattern of Merkel cell polyomavirus identified by viral metagenomics in plasma of high-risk blood donors from the Brazilian Amazon. INFECTION GENETICS AND EVOLUTION, v. 85, NOV 2020. Web of Science Citations: 0.
NUNES VALENCA, I; SILVA-PINTO, A. C.; ARAUJO DA SILVA JUNIOR, W.; COVAS, D. TADEU; KASHIMA, S.; NANEV SLAVOV, S. Viral metagenomics in Brazilian multiply transfused patients with sickle cell disease as an indicator for blood transfusion safety. TRANSFUSION CLINIQUE ET BIOLOGIQUE, v. 27, n. 4, p. 237-242, NOV 2020. Web of Science Citations: 0.
BEZERRA, RAFAEL DOS SANTOS; VALENCA, IAN N.; RUY, PATRICIA DE CASSIA; XIMENEZ, JOAO P. B.; SILVA JUNIOR, WILSON A.; COVAS, DIMAS T.; KASHIMA, SIMONE; SLAVOV, SVETOSLAV N. The novel coronavirus SARS-CoV-2: From a zoonotic infection to coronavirus disease 2019. Journal of Medical Virology, v. 92, n. 11 JUN 2020. Web of Science Citations: 2.
BEZERRA, RAFAEL DOS SANTOS; DIEFENBACH, CRISTIANE FRACAO; PEREIRA, DALNEI VEIGA; KASHIMA, SIMONE; SLAVOV, SVETOSLAV NANEV. Viral metagenomics performed in patients with acute febrile syndrome during Toxoplasma gondii outbreak in south Brazil. Brazilian Journal of Infectious Diseases, v. 24, n. 3, p. 250-255, MAY-JUN 2020. Web of Science Citations: 0.
RAFAEL DOS SANTOS BEZERRA; KAMILA CHAGAS PERONNI; BRUNA DURÃES DE FIGUEIREDO BARROS; LEONARDO SCALON DE OLIVEIRA; EVANDRA STRAZZA RODRIGUES; ROCHELE AZEVEDO; EUGÊNIA MARIA AMORIM UBIALI; DIMAS TADEU COVAS; SIMONE KASHIMA; SVETOSLAV NANEV SLAVOV. Viral metagenomics in blood donors with post-donation diseases and negative tests for dengue and Zika viruses RNA detection during a major outbreak of arboviruses in Sao Paulo State in 2016. Revista do Instituto de Medicina Tropical de São Paulo, v. 62, p. -, 2020. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.